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Biostatistics I

Course Numbers: OCOR - 5603 and BCOR - 5570

This is an introductory statistical course for marine biology/oceanographic science majors.
The course will introduce elementary methods for presenting biological data in summary
form, analyzing biological data, and designing experiments. It is not a mathematics course
and so will not stress derivations of formulae but, rather, will emphasize the application of
statistical ideas and methods to the analysis and interpretation of biological experiments
and comparative data. The student will be able to assess a situation involving data analysis,
state the null and alternative hypotheses proposed, decide on the correct statistical
procedure to test the null hypothesis and the assumptions of the test used, calculate the
statistic, assess its statistical significance, and interpret the data in light of the calculated
result.

Learning Objectives

Students will:

  • describe critical aspects of data such as scales of measurement and whether variables are discrete or continuous
  • calculate summary statistics.Create appropriate graphs, charts, maps, and tables to represent data
  • calculate common probability distributions and apply those calculations to solve problems based on biological studies
  • randomly allocate experimental units to treatments and apply this technique to solve problems based on biological studies
  • calculate the distribution of observations about the mean based on the assumption of normality and apply those calculations to solve problems based on biological data
  • calculate the distribution of sample means about the mean and apply those calculations to solve problems based on biological data.Compare one and two means (from paired and unpaired data) using both parametric and non-parametric methods and use those methods to test hypotheses
  • analyze categorical data to test both goodness-of-fit and contingency hypotheses
  • compare more than two means using analysis of variance methods and use those methods to test hypotheses derived from both single-factor and two-factor experimental designs
  • calculate least-squares regression lines and apply those calculations to solve problems based on biological studies
  • determine the appropriateness of various statistical tests and procedures for analyzing different types of biological data

Textbook

Wheater, P.C. & Cook, P.A. (2000). Using Statistics to Understand the Environment. Routledge. ISBN 0‐415‐19888‐7

Winter 2016 Syllabus

Oceanography Library Course Guide

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